Security and Policy Driven Computing covers recent advances in security, storage, parallelization, and computing as well as applications in engineering design, implementation, and deployment. It also looks to future research and technologies that will propel the innovation of next-generation systems. The author incorporates a wealth of practical information, including case studies on intrusion detection and key management, computer storage reduction policy, and transactional management. He provides usable code and artifacts for security and policy driven self-managed systems and highlights industrial best practices with real-world examples.

Lei has hands-on experience with analysis and problem proofs. He has four patents granted and two patents filed in the U.S. patent office. Lei has been writing a book on Next Generation Enterprise System.

A Parallel Search Optimization Using an Adaptive State-Action Index Structure. A Method of Policy Discovery for Storage and Data Management. Knowledge-Based Policy Discovery for Storage and Data Management. Stabilizing Read-Write Throughput of Transactional Memory for Contention Management. Parallel Search Optimization for Storage Virtualization. Finite Automata for Evaluating Testbed Resource Contention. Adaptive Buffer Tuning for Data Intensive Algebraic Operations. A Quantum Method of Representing Recurring Data Deduplication Policy States. QAM-Quantum Availability Mechanics without Recovery for Storage and Data Management. A Quantum Method with Unknown Future Tasks to Resolve Storage Message Conflicts. A Quantum Automatic Controlled Method for Storage Test Coverage. Protection Mechanics with a Quantum Operator for Anomaly Attacks. Index.